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  1. 05 May, 2021 1 commit
  3. 04 May, 2021 1 commit
  5. 02 May, 2021 1 commit
  7. 30 Apr, 2021 1 commit
  9. 26 Apr, 2021 1 commit
  11. 21 Apr, 2021 1 commit
  13. 19 Apr, 2021 1 commit
  15. 10 Apr, 2021 1 commit
  17. 01 Apr, 2021 1 commit
    • jmoralez's avatar
      [tests][dask] Add voting_parallel algorithm in tests (fixes #3834) (#4088) · d517ba12
      jmoralez authored 
      * include voting_parallel tree_learner in test_regressor, test_classifier and test_ranker

* remove test for warnings and test for error when using feature_parallel

* use real names for tree_learner intest and include test for aliases. use the error message in the test for error in feature parallel

* split all tests with rf in test_classifier

* remove task parametrization for tree_learner aliases test. smaller input data from feature_parallel error

* define task for tree_learner aliases
      d517ba12
  19. 31 Mar, 2021 2 commits
  21. 30 Mar, 2021 1 commit
  23. 29 Mar, 2021 2 commits
  25. 27 Mar, 2021 1 commit
  27. 21 Mar, 2021 1 commit
  29. 16 Mar, 2021 1 commit
  31. 15 Mar, 2021 3 commits
  33. 14 Mar, 2021 1 commit
  35. 10 Mar, 2021 1 commit
  37. 04 Mar, 2021 1 commit
    • jmoralez's avatar
      [dask] Include support for init_score (#3950) · 37e98782
      jmoralez authored 
      * include support for init_score

* use dataframe from init_score and test difference with and without init_score in local model

* revert refactoring

* initial docs. test between distributed models with and without init_score

* remove ranker from tests

* test value for root node and change docs

* comma

* re-include parametrize

* fix incorrect merge

* use single init_score and the booster_ attribute

* use np.float64 instead of float
      37e98782
  39. 24 Feb, 2021 3 commits
    • jmoralez's avatar
      [dask][python-package] include support for column array as label (#3943) · 5dacd603
      jmoralez authored 
      * include support for column array as label

* remove nested ifs

* fix linting errors

* include tests for sklearn regressors

* include docstring for numpy_1d_array_to_dtype

* include . at end of docstring

* remove pandas import and test for regression, classification and ranking

* check predictions of sklearn models as well

* test training only in dask. drop pandas series tests

* use PANDAS_INSTALLED and pd_Series

* inline imports

* use col array in fit for test_dask

* include review comments
      5dacd603
    • jmoralez's avatar
      [dask] use random ports in network setup (#3823) · 0e576575
      jmoralez authored 
      * use socket.bind with port 0 and client.run to find random open ports

* include test for found ports

* find random open ports as default

* parametrize local_listen_port. type hint to _find_random_open_port. fid open ports only on workers with data.

* make indentation consistent and pass list of workers to client.run

* remove socket import

* change random port implementation

* fix test
      0e576575
    • Nikita Titov's avatar
      [dask] Reuse addresses saved in variable (#4016) · 7777852a
      Nikita Titov authored
      7777852a
  41. 23 Feb, 2021 1 commit
  43. 20 Feb, 2021 1 commit
  45. 19 Feb, 2021 1 commit
  47. 17 Feb, 2021 1 commit
    • Alex Ford's avatar
      Optimize array-from-ctypes in basic.py (#3927) · de8c6105
      Alex Ford authored 
      Approximately %80 of runtime when loading "low column count, high row
count" DataFrames into Datasets is consumed in `np.fromiter`, called
as part of the `Dataset.get_field` method.

This is particularly pernicious hotspot, as unlike other ctypes-based
methods this is a hot loop over a python iterator loop and causes
significant GIL-contention in multi-threaded applications.

Replace `np.fromiter` with a direct call to `np.ctypeslib.as_array`,
which allows a single-shot `copy` of the underlying array.

This reduces the load time of a ~35 million row categorical dataframe
with 1 column from ~5 seconds to ~1 second, and allows multi-threaded
execution.
      de8c6105
  49. 16 Feb, 2021 6 commits
  51. 15 Feb, 2021 4 commits